Journal of Physics: Conference Series PAPER • OPEN ACCESS On probability distributions of wind speed data in Malaysia To cite this article: Aimi Liyana Jalil and Husna Hasan 2021 J. Phys.: Conf. Ser. 1988 012109 View the article online for updates and enhancements. This content was downloaded from IP address 170.106.33.42 on 25/09/2021 at 20:40 Simposium Kebangsaan Sains Matematik ke-28 (SKSM28) IOP Publishing Journal of Physics: Conference Series 1988 (2021) 012109 doi:10.1088/1742-6596/1988/1/012109 On probability distributions of wind speed data in Malaysia Aimi Liyana Jalil1 and Husna Hasan2 1,2School of Mathematical Sciences, Universiti Sains Malaysia, 11800, USM Penang, Malaysia E-mail:
[email protected],
[email protected] Abstract. The rapid depletion of fossil fuel resources leads to environmental issues and impacts, making alternative resources such as wind energy to be one of the important renewable sources. The statistical characteristics of wind speed and the selection of suitable wind turbines are essential to evaluate wind energy potential and design wind farms effectively. Hence, an accurate assessment of wind energy and wind data analysis is crucial before a detailed analysis of energy potential is conducted. The probability distributions of wind speed data are considered, and its parameters are precisely estimated to achieve this aim. This study considers the most selected distribution, namely, Weibull, Gamma, and Logistic distributions. These distributions are fitted to the wind speed data for sixteen stations in Malaysia. The parameter estimation is performed by the maximum likelihood method. The efficiency of the model distribution is analysed.